There is provided mechanisms for deciding whether a bearing is faulty or not. A method is performed by a controller. The method comprises obtaining, as a measurement signal, metal particles counting data, where the metal particles counting data indicates number of metal particles present in lubrication oil of the bearing per time unit. The method comprises differentiating the measurement signal, resulting in a differentiated measurement signal. The method comprises deciding, depending on how large share of a probability density estimate of the differentiated measurement signal is above a threshold value, whether the bearing is faulty or not.

An apparatus, methods and systems for data collection in an industrial environment are disclosed. A monitoring system can include a data collector coupled to a plurality of sensors to collect data, a data storage structured to store a plurality of data collection management plans, a data acquisition circuit structured to interpret a plurality of detection values from the collected data, and a data analysis circuit structured to analyze the collected data and select one of the plurality of data collection management plans, wherein the selected one of the plurality of data collection management plans is selected is at least in part based on a data analysis of received data from the plurality of sensors.

An apparatus, methods and systems for data collection in an industrial environment are disclosed. A monitoring system can include a data collector coupled to a plurality of sensors to collect data, a data storage structured to store a plurality of data collection management plans, a data acquisition circuit structured to interpret a plurality of detection values from the collected data, and a data analysis circuit structured to analyze the collected data and select one of the plurality of data collection management plans, wherein the selected one of the plurality of data collection management plans is selected is at least in part based on a data analysis of received data from the plurality of sensors.

A system for determining at least one defect of a bearing providing a first ring and a second ring capable of rotating concentrically relative to one another, first and second distance sensors mounted on the first ring of the bearing for measuring first and second differential distances between the first ring and the second ring, a storage device for storing each measured differential distance, a device configured to determine a first temporal profile of a radial relative displacement between the first and second rings, and a second temporal profile of an axial relative displacement between the first and second rings according to the stored measured differential distances in the storage device, and a device that identifies a defect of the bearing from the temporal profile.

A system for determining at least one defect of a bearing providing a first ring and a second ring capable of rotating concentrically relative to one another, first and second distance sensors mounted on the first ring of the bearing for measuring first and second differential distances between the first ring and the second ring, a storage device for storing each measured differential distance, a device configured to determine a first temporal profile of a radial relative displacement between the first and second rings, and a second temporal profile of an axial relative displacement between the first and second rings according to the stored measured differential distances in the storage device, and a device that identifies a defect of the bearing from the temporal profile.

A method for determining the preload value of the screw based on thermal error and temperature rise weighting. Firstly, thermal behavior test of the feed shaft under typical working conditions is carried out to obtain the maximum thermal error and the temperature rise at the key measuring points in each preloaded state. Then, a mathematical model of the preload value of the screw and the maximum thermal error is established; meanwhile, another mathematical model of the preload value of the screw and the temperature rise at the key measuring points is also established. Finally, the optimal preload value of the screw is obtained. The thermal error of the feed shaft and the temperature rise of the moving components are comprehensively considered, improving the processing accuracy and accuracy stability of the machine tool, and ensuring the service life of the moving components such as bearings.

Systems for self-organizing data collection and storage in a manufacturing environment are disclosed. A system may include a data collector for handling a plurality of sensor inputs from sensors in the manufacturing system, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of at least one target system. The system may also include a self-organizing system for self-organizing a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs. The self-organizing system may organize a swarm of mobile data collectors to collect data from a plurality of target systems.

Provided is a method and a system capable of detecting a fatigue state before damage to a rolling bearing component occurs, and capable of performing diagnosis of the fatigue state without having to disassemble the rolling bearing.

A magnetic sensor arranged close to a component of a rolling machine element measures magnetic flux density in the axial direction and/or radial direction of the component, then the amount of change in magnetic flux density is calculated based on a reference magnetic flux density corresponding to the magnetic flux density before the start of use of the component, and the progression of fatigue of the rolling machine element is determined from the amount of change.

Provided is a method and a system capable of detecting a fatigue state before damage to a rolling bearing component occurs, and capable of performing diagnosis of the fatigue state without having to disassemble the rolling bearing.

A magnetic sensor arranged close to a component of a rolling machine element measures magnetic flux density in the axial direction and/or radial direction of the component, then the amount of change in magnetic flux density is calculated based on a reference magnetic flux density corresponding to the magnetic flux density before the start of use of the component, and the progression of fatigue of the rolling machine element is determined from the amount of change.

Method for detecting at least one critical defect in a ceramic rolling element providing the steps of capturing a plurality of two-dimensional digital radiographic images of the ceramic rolling element; digitally filtering each radiographic image; delineating, on the basis of the filtered image, at least one region liable to comprise the critical defect; constructing stereoscopically a virtual model of the ceramic rolling element having the region; comparing the dimensions of the delineated region with a plurality of predetermined threshold values, and, when the dimensions are greater than the threshold values, generating an alarm signal.